Harness provides an Autonomous Software Development Life Cycle (SDLC) platform designed to accelerate software delivery through AI-driven automation, security testing, and cost management. The platform utilizes various agents—including Software Delivery, Security Testing, Runtime Protection, and Cost Management—to automate pipelines from commit to production while maintaining governance and visibility across the entire development lifecycle.
- Offers three levels of risk-based autonomy ranging from manual oversight to fully autonomous agent execution within set policies.
- Includes a Knowledge Graph that learns patterns from deployments, incidents, and cost events to improve recommendations.
- Provides specialized AI posture management to identify and protect against threats like prompt injection and text evasion.
- Enables automated cloud spend attribution by tracing tokens to specific teams or business outcomes.
- Offers three levels of risk-based autonomy ranging from manual oversight to fully autonomous agent execution within set policies.
- Includes a Knowledge Graph that learns patterns from deployments, incidents, and cost events to improve recommendations.
- Provides specialized AI posture management to identify and protect against threats like prompt injection and text evasion.
- Enables automated cloud spend attribution by tracing tokens to specific teams or business outcomes.
Frederic Lardinois writes that Harness field CTO Martin Reynolds is addressing the surge in pull requests caused by coding agents, which can increase new code volume from 1.5x to as much as 50x. To manage this "review bottleneck," Harness has launched a rebuilt Code Repository and an AI Code Review product designed specifically for high-frequency agent traffic rather than just human teams. The company's approach focuses on using a software delivery knowledge graph to provide reviewers with context quickly, helping them distinguish critical code changes from routine dependency updates.
- Coding agents can increase the volume of pull requests by 10x to 50x compared to traditional developer workflows.
- Harness rebuilt its repository service as an "AI-first" platform that is Kubernetes-based and runs across multiple clouds.
- The new AI Code Review tool integrates with existing GitHub repositories, allowing teams to use it without migrating their entire codebase.
- Coding agents can increase the volume of pull requests by 10x to 50x compared to traditional developer workflows.
- Harness rebuilt its repository service as an "AI-first" platform that is Kubernetes-based and runs across multiple clouds.
- The new AI Code Review tool integrates with existing GitHub repositories, allowing teams to use it without migrating their entire codebase.
Deep Field writes that the Canadian Hydrogen Intensity Mapping Experiment (CHIME) has released a second catalog containing 4,539 fast radio bursts from 3,641 distinct sources. These observations were collected over more than five years of continuous sky-watching between July 2018 and September 2023 using a unique telescope in British Columbia that features four stationary half-pipe reflectors with no moving parts.
- The telescope uses digital signal processing to form 1,024 beams electronically rather than physically steering dishes.
- Of the detected bursts, 981 originated from 83 known repeating sources.
- Fast radio bursts can be used to map the distribution of diffuse, low-density gas between galaxies by analyzing dispersion measures.
- Magnetars are currently a leading candidate for the physical source of these cosmic explosions.
- The telescope uses digital signal processing to form 1,024 beams electronically rather than physically steering dishes.
- Of the detected bursts, 981 originated from 83 known repeating sources.
- Fast radio bursts can be used to map the distribution of diffuse, low-density gas between galaxies by analyzing dispersion measures.
- Magnetars are currently a leading candidate for the physical source of these cosmic explosions.
Chao Zhang and colleagues study the design space of proactive AI agents that provide higher-level cognitive support during writing, moving beyond simple textual assistance like autocomplete. Through a technology probe deployed with 16 participants, researchers found that users prefer to configure custom partners by setting specific roles and proactivity levels in advance. The findings indicate that such tools can be used for both idea generation and self-monitoring when interventions are presented through lightweight visual representations and non-directive framing to minimize intrusiveness.
- Participants planned their AI support prospectively rather than reacting to real-time interruptions.
- Suggestions served a dual purpose of sparking new ideas and assisting in the self-monitoring process.
- The study emphasizes that rhetorical framing is as critical to user experience as the timing of an intervention.
- Participants planned their AI support prospectively rather than reacting to real-time interruptions.
- Suggestions served a dual purpose of sparking new ideas and assisting in the self-monitoring process.
- The study emphasizes that rhetorical framing is as critical to user experience as the timing of an intervention.
/u/locbuilds on r/LocalLLM gives advice for an issue where the Qwen 3.8-27b model enters repetitive loops when making tool calls during debugging sessions. Community members suggest that this is often a bug within the agent harness rather than the model itself, recommending several technical mitigations to manage these failures effectively.
- Implement hard loop breakers in the application harness to detect and stop identical consecutive tool calls.
- Provide explicit "error" or "already tried" feedback in tool observations to signal failure back to the model.
- Lower temperature (0.1–0.3) for tool-heavy turns and apply repetition penalties via the sampler.
- Use specialized chat templates, such as Froggeric's Qwen fixed template, which may alleviate looping issues.
- Implement hard loop breakers in the application harness to detect and stop identical consecutive tool calls.
- Provide explicit "error" or "already tried" feedback in tool observations to signal failure back to the model.
- Lower temperature (0.1–0.3) for tool-heavy turns and apply repetition penalties via the sampler.
- Use specialized chat templates, such as Froggeric's Qwen fixed template, which may alleviate looping issues.
Meg Kurdziolek writes that modern AI interaction design must learn from the history of Human-Computer Interaction (HCI) to avoid repeating past mistakes. Using observations from robotics and early Xerox PARC studies, she argues that even highly intelligent systems fail if they do not account for "situated action"—the unpredictable, improvised nature of human behavior—and the sensory gap between machine perception and real-world context. To move toward successful Agent Interaction Models (AIX), designers must prioritize human competence over autonomy by creating interfaces that support continuous steering, collaborative sensemaking among multiple stakeholders, and transparent communication of uncertainty.
- The "man vs. machine" study by Lucy Suchman highlighted how rigid automation fails to account for the moment-to-moment improvisation required in real work.
- LLMs create a "stochastic parrot" effect where conversational fluency masks a lack of underlying physical or situational understanding.
- Effective Agentic UX requires an "intervention handshake," allowing users to provide lightweight, continuous steering without resetting the system state.
- Trust is often treated as a 1:1 interaction in current chatbot interfaces, but real-world high-stakes AI operates within complex multi-stakeholder networks (e.g., doctors, patients, and auditors).
- The "man vs. machine" study by Lucy Suchman highlighted how rigid automation fails to account for the moment-to-moment improvisation required in real work.
- LLMs create a "stochastic parrot" effect where conversational fluency masks a lack of underlying physical or situational understanding.
- Effective Agentic UX requires an "intervention handshake," allowing users to provide lightweight, continuous steering without resetting the system state.
- Trust is often treated as a 1:1 interaction in current chatbot interfaces, but real-world high-stakes AI operates within complex multi-stakeholder networks (e.g., doctors, patients, and auditors).
Bill Giannopoulos writes that archaeologists near Aigio, in western Greece, have discovered an intact Mycenaean tomb dating back over 3,000 years. The undisturbed site contains various funerary objects, including jewelry, bronze artifacts, and ceramics, providing a unique opportunity to study the burial customs and social structures of the Late Bronze Age.
- Researchers are analyzing remains to determine biological relationships between the deceased.
- Nearby excavations have revealed an even earlier settlement from approximately 2000 BC.
- Future research will focus on the ancient city of Rhypes, specifically its agora and a heroon.
- Researchers are analyzing remains to determine biological relationships between the deceased.
- Nearby excavations have revealed an even earlier settlement from approximately 2000 BC.
- Future research will focus on the ancient city of Rhypes, specifically its agora and a heroon.
Chris Burnell writes about the increasing ability of HTML to perform dynamic functions that were previously dependent on JavaScript. He highlights several modern features, such as popovers, dialog elements, and grouped details accordions, which allow for complex user interface behaviors directly through native browser attributes.
- The `popover` attribute manages light dismissals (Esc key) and top-layer positioning without extra scripting or z-index management.
- A shared `name` attribute on `<details>` elements creates a native accordion effect where opening one item closes others in the same group.
- New "invoker commands" like `command="show-popover"` allow buttons to control popovers and dialogs without JavaScript.
- The `hidden="until-found"` attribute allows content to be hidden but automatically revealed when a user searches for it using browser default search functions.
- While HTML offers many native components like `<datalist>` or `<meter>`, the author cautions that accessibility support and styling consistency vary significantly across browsers.
- The `popover` attribute manages light dismissals (Esc key) and top-layer positioning without extra scripting or z-index management.
- A shared `name` attribute on `<details>` elements creates a native accordion effect where opening one item closes others in the same group.
- New "invoker commands" like `command="show-popover"` allow buttons to control popovers and dialogs without JavaScript.
- The `hidden="until-found"` attribute allows content to be hidden but automatically revealed when a user searches for it using browser default search functions.
- While HTML offers many native components like `<datalist>` or `<meter>`, the author cautions that accessibility support and styling consistency vary significantly across browsers.
Gleb Shalimov presents esp_ble_finder, a BLE scanning tool designed for the Waveshare ESP32-S3-Touch-AMOLED-1.8 hardware. The application helps users locate nearby devices by monitoring RSSI (Received Signal Strength Indicator) through a visual dotted UI and auditory feedback that mimics parking sensors.
- Uses an AMOLED display to show signal strength with dots and a filling line indicator.
- Features "parking-sensor clicks" where audio speed increases as the user gets closer to the target device.
- Allows users to hunt for specific devices by editing the `TARGET_NAME` in the source code.
- Includes a mute function that silences speaker clicks while maintaining the scan and visual updates.
- Uses an AMOLED display to show signal strength with dots and a filling line indicator.
- Features "parking-sensor clicks" where audio speed increases as the user gets closer to the target device.
- Allows users to hunt for specific devices by editing the `TARGET_NAME` in the source code.
- Includes a mute function that silences speaker clicks while maintaining the scan and visual updates.
Anurag Singh writes that using Claude Code's auto mode can be frustrating when the tool constantly requests permission for terminal commands, which often breaks its autonomy. To solve this while maintaining security, he suggests running Claude Code inside a virtual machine (VM) with Ubuntu; this provides a safe sandbox where "auto mode" can run freely without risking personal files or credentials on the host computer.
- The author uses VirtualBox to create the VM environment.
- Running in auto mode within a VM allows for background file editing, testing, and error handling without constant human interruption.
- Even with built-in sandboxing in Claude Code, Singh argues that a VM is safer because it provides full operating system separation.
- After tasks are complete, the user should review Git diffs and run tests before moving code from the VM to the main project.
- The author uses VirtualBox to create the VM environment.
- Running in auto mode within a VM allows for background file editing, testing, and error handling without constant human interruption.
- Even with built-in sandboxing in Claude Code, Singh argues that a VM is safer because it provides full operating system separation.
- After tasks are complete, the user should review Git diffs and run tests before moving code from the VM to the main project.
